Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/niclasolofsson/mode-manager-mcp/memorygit clone --depth 1 https://github.com/NiclasOlofsson/mode-manager-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/niclasolofsson/mode-manager-mcp/memory)<a href="https://agentmods.dev/instructions/niclasolofsson/mode-manager-mcp/memory"><img src="https://agentmods.dev/badge/instructions/niclasolofsson/mode-manager-mcp/memory.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00263 | $0.00263 |
| Opus 5 | $0.00131 | $0.00131 |
| Sonnet 5 | $0.00053 | $0.00053 |
| Haiku 4.5 | $0.00026 | $0.00026 |
Grade A, and why
mode-manager-mcp memory.instructions.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Universal Laws
- No universal laws provided.
Policies
- No policies provided.
Personal Context
- Name: Not specified
- Location: Not specified
- Role: Not specified
Professional Context
- No professional context provided.
Technical Preferences
- No technical preferences provided.
Communication Preferences
- No communication preferences provided.
Suggestions/Hints
- No suggestions or hints provided.
Memories/Facts
Project-Specific Patterns
mode-manager-mcp Project
- 2025-10-06 21:06: Prefer
uvover Hatch for package management. Useuv sync --group devfor setup,uv run pytestfor tests,uv run mypyfor type checking, and standard Black formatting commands viauv run. The project successfully migrated from Hatch touvwhile keeping Hatchling as the build backend.
General
- [Timestamp not specified] Test content
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 4d ago First seen · 42 lines · 263 tokens per session scan A 52871e7f7d80
mode-manager-mcp memory.instructions.md is an instructions file published in the GitHub repository NiclasOlofsson/mode-manager-mcp (10 stars, last pushed 8mo ago), licensed MIT. It adds 263 tokens to every session, about $0.0013 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other instructions, from other repositories
featherspec knowledge-records.instructions.md
FeatherSpec knowledge record rules — observation, rationale, provenance (thin loader).
featherspec memory-bank.instructions.md
FeatherSpec Memory Bank writing rules (thin loader).
LogseqBrain CLAUDE.md
Instructions for jame581/LogseqBrain, covering claude.md, what this repo is, architecture, shared references (since v0.6.0) and graph path resolution (every skill does this).
sdd-starter AGENTS.md
AGENTS.md instructions for KazukiShinomiya/sdd-starter, covering agents.md - project context (shared memory for ai agents), active tech stack, recent changes and 憲法の扱い（テンプレ本体の開発）.
dbt-core-mcp memory.instructions.md
Workspace-specific AI memory for this project.
copilot-memory-store copilot-instructions.md
Instructions for timothywarner-org/copilot-memory-store, covering copilot memory store – ai agent instructions, core modules, memory file behavior, cli & mcp workflows and llm compression.